Eating Habits and Lifestyle Profile of an Italian Aging Cohort
NCT ID: NCT04401930
Last Updated: 2021-06-01
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
600 participants
OBSERVATIONAL
2017-11-01
2021-03-31
Brief Summary
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In order to ensure healthy aging and to reduce effects of specific diseases, recommendations are needed for illness and disability in this population, as well as adequate physical activity and specific support programs, culturally accepted.
The aim of this study is to evaluate eating habits in term of food consumption, health state and lifestyle in a sample of free-living elderly over the age of 65, living in Milan and surroundings.
In particular, profiling of the elderly population is performed using a survey in which information are collected on methods, contexts, time and ability to buy, prepare, consume and dispose of and recycle food. Eating habits and knowledge about food are detected through the analysis of food consumption frequencies, and lifestyle by assessing the level of physical activity, quality of sleep, smoking habit. Weight status and health status are evaluated through anthropometric measurements, body composition (bioelectrical impedance) and strength test.
Other information relating to social participation and other socio-demographic variables (age, gender, family composition, socio-economic status) are collected to have a completed profiling of target population.
Achieved results will help us to identify factors on which acting to ensure healthy aging and counteract inflammaging, the chronic low-grade systemic inflammation characteristic in the aging process.
Moreover, the study allows increasing the knowledge related to the needs and requirements of the target population to determine a good food policy and to increase the elderly empowerment.
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Detailed Description
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The information is collected through a questionnaire consisting of 6 sections and includes batteries of questions and scales already validated in the literature: i) access to the points of sale; ii) consumer behavior; iii) eating habits; iv) opinions regarding accessibility; v) state of health, physical activity and sleep quality; vi) other socio-demographic information. The collected data will allow to identify different profiles of elderly people with respect to the investigated dimensions and to estimate the influence of different factors on eating habits and health status.
To complete the information collected with the questionnaire, functional and anthropmetric parameters are detected which are useful to complete the nutritional assessment of the target population. Specifically, the muscle strength, body composition, body weight, height, body circumferences, plicometry are measured, and the antripometric indices waist-height circumference ratio, waist-hip circumference ratio and arm muscle area are calculated.
SAMPLE SIZE: Based on the data on the population residing on 1 January 2017 from an Istat source, the residents of the metropolitan city of Milan aged 65 and over are 722703. The sample size was defined with the choice of a confidence level of 95% and of a confidence interval of 4%.
Conditions
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Study Design
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COHORT
CROSS_SECTIONAL
Study Groups
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Free-living elderly
Free-living elderly over the age of 65 living in Metropolitan Area of Milan, in apparent good health conditions.
Male and Female
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
* free-living
* autonomous, self sufficient
* acceptance and sign of informed consent
Exclusion Criteria
* living in: nursing home, Extended Care
* hospitalized
* non autonomous, non self sufficient
* without acceptance and sign of informed consent
65 Years
ALL
Yes
Sponsors
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University of Milano Bicocca
OTHER
University of Pavia
OTHER
Responsible Party
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Hellas Cena
Tenured researcher
Principal Investigators
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Hellas Cena
Role: PRINCIPAL_INVESTIGATOR
University of Pavia
Locations
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University of Pavia
Pavia, Lombardy, Italy
Countries
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Other Identifiers
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CUP E47F17000020009
Identifier Type: OTHER_GRANT
Identifier Source: secondary_id
13052020
Identifier Type: -
Identifier Source: org_study_id
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